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POST-DOCTORAL FELLOW

Kellogg School of Management (Northwestern) is seeking exceptional candidates for a post- doctoral fellow position. Candidates will be housed in the Center for Science of Science and Innovation, directed by Prof. Dashun Wang. We have a broadly defined research agenda, exploring diverse topics related to Science of Science, Innovation, AI, Computational Social Science, and Network Science. The initial term of these positions is one year with the possibility for renewal. The application deadline is December 12, 2021, and the target start date is flexible. Our priority is to attract technically strong researchers who are interested in asking bold, new questions with data. Candidates must have a proven record of publications and need to have completed projects that demonstrate a proven ability to work with data. Qualifications • Ph.D. in fields including computational social science, complex systems, physics, computer science, network science, economics, applied mathematics, or other related fields • Prior experience of programming and working with large-scale data • Participation and activity in the scientific community • Strong communication skills • The ability to work in a highly collaborative and interdisciplinary environment Applications should include: • cover letter, describing your interest in and qualifications for this position; • curriculum vitae (including publications list); • 2 published papers, or equivalent writing samples that best demonstrate your expertise and fit for the position; • one research statement (2-4 pages) that outlines both your research achievements and agenda and your service and outreach activities; • the names and contact information of three letter writers; • a link to a professional webpage and Google Scholar page (if applicable).

CountryUnited States
LabEvanston, IL
Starts on04/01/2022
Duration/Period2022-2023
Deadline12/12/2021 0:00
Linkhttps://facultyrecruiting.northwestern.edu/apply/MTI1NQ==
Files2021_Postdoc_Ad.Final.pdf
Keywordsdata science; science of science; computer science; statistics;

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